FinOps Engineer - Cloud Cost & Capacity Leader

FinOps Weekly; Northern (KY); Hybrid; USD 110,000 - 230,000; Full time

Benefits offered by this job

Personalized development programs

Mentorship

Certification assistance

Flexibility

Competitive pay and benefits

Job summary

FinOps Weekly is hiring a Staff Engineer to lead cloud cost optimization, budgeting, forecasting, and capacity planning within the FinOps and Cloud Optimization team. You will partner with engineering, business, and finance to improve spend visibility and governance, while guiding technical execution across UI, microservices, and Kubernetes deployments.

The role requires strong leadership, cloud platform knowledge (AWS/Azure/GCP), and experience with Python, Django, gRPC, Kafka and Spark.

Qualifications

• Experience in budgeting, forecasting, cost savings, and reporting across multiple tools.
• Strong understanding of cloud cost models, pricing, and spend governance.
• Experience with cloud platforms (AWS/Azure/GCP) and Kubernetes deployments.

Responsibilities

• Lead cloud cost optimization and capacity planning initiatives across orgs.
• Build automation and process optimization to improve savings and spend reporting.
• Gather budget requirements and maintain budget reporting; forecast cloud costs.
• Define FinOps KPIs for IT leadership and collaborate with finance controls.
• Support economic unit with business metrics to manage cloud expenses.
• Mentor engineers on architecture, design, and implementation across stack.
• Lead deployments and integrations with Kubernetes, cloud, and on-prem systems.

Skills

Cloud cost optimization

Budgeting & forecasting

Kubernetes

Python

TypeScript

ReactJS

Golang

Docker

Terraform

AWS

Azure

GCP

Communication

Cost reporting

Education

Bachelor's degree in Computer Science

Tools

Docker

Kubernetes

Terraform

ReactJS

Python

TypeScript

Job description

FinOps Weekly is hiring a Staff Engineer to lead cloud cost optimization, budgeting, forecasting, and capacity planning within the FinOps and Cloud Optimization team. You will partner with engineering, business, and finance to improve spend visibility and governance, while guiding technical execution across UI, microservices, and Kubernetes deployments.

The role requires strong leadership, cloud platform knowledge (AWS/Azure/GCP), and experience with Python, Django, gRPC, Kafka and Spark.